American researchers have developed a artificial intelligence (AI) Method for identifying Parkinson’s disease.
The system works by measuring a person’s breath patterns during sleep. A study describing the method says it can also measure disease severity and record its progression. The study recently appeared in the publication nature medicine,
The researchers note that early signs of Parkinson’s disease are not easy to detect. Many signs, or symptoms, appear only years after the onset of the disease.
Researchers are investigating other ways to detect or detect the disease before it has a chance to develop. These included examination of cerebrospinal fluid or brain images. But these methods are expensive and require specialized medical centers.
The research team says the new AI-based system is simple and can detect disease early in its development.
Parkinson’s is a neurological disease that damages the brain. This often causes patients to lose the ability to control their movements. This can affect the patient’s walking movements and cause the body tremors, Many patients also suffer Feeling problems, as well as mental health issues and sleep difficulties.
The World Health Organization (WHO) reports that Parkinson’s disease is currently the fastest growing neurological condition worldwide. Cases of this disease have doubled in the last 25 years.
The WHO estimates that more than 8.5 million people worldwide have Parkinson’s. Because of its effects on the body, coping with illness can put a strain on the health care system and individual caregivers.
The AI method to identify Parkinson’s was developed by researchers at the Massachusetts Institute of Technology (MIT) and other educational and health organizations.
The system records data about a person’s breathing at night. This information is collected by instruments that measure signals from breathing sensors on the body. Or from the radio signal in the room.
The data is then processed into what researchers call neural networks. A neural network is a computer system designed to simulate or function in the human brain.
Neural network used by Parkinson’s disease tool consists of “a chain of connected Algorithm,” the researchers said in a statement. The algorithms examine the subject’s breathing patterns in an attempt to predict the presence of the disease.
Dina Katabi is a professor of electrical engineering and computer science at MIT. He helped lead the research. She said that shortness of breath has always been associated with Parkinson’s disease. “A connection between Parkinson’s and breathing was noted as early as 1817 in the work of Dr. James Parkinson,” said Katabi.
She said the relationship prompted the research team “to consider” Possibility To detect illness by one’s breathing without observing the movements. Previous studies have shown that the breathing patterns associated with Parkinson’s can appear years before other symptoms. This means that AI systems could be an early predictor of disease, Katabi said.
The algorithm was tested on 7,687 individuals, including 757 Parkinson’s patients. The study included data from several US hospitals and other public information.
The experiments showed that with just one night’s sleep, the AI system was able to detect Parkinson’s disease by 86 percent. Accuracy, the study found. With 12 nights of data, the rate jumped to 95 percent.
Researchers say the device’s simplicity will enable many more people to be tested for the disease in their homes. He said it could especially help people from traditionally disadvantaged communities, as well as those living in rural areas or with limited ability to go to hospitals.
I’m Brian Lynn.
Brian Linn wrote this story for VOA Learning English based on reports from MIT and Nature Medicine.
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words in this story
artificial intelligence , N. Development of computer systems with the ability to perform tasks that would normally require human intelligence
pattern , N. a regular and repeated way in which something happens
Tremors of earthquake , N. twitching of a part of the body that cannot be controlled
Feeling , N. The mental action or process of acquiring knowledge and understanding through thought, experience, and the senses
Algorithm , n, a set of steps to be followed to solve a mathematical problem or complete a computer process
Possibility , n, a possibility when prerequisites are present
accurate , accommodate, true or true
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